Nice Stock Market Value
| NCSYF Stock | USD 169.00 5.06 2.91% |
| Symbol | NICE |
NICE 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to NICE's pink sheet what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of NICE.
| 12/01/2023 |
| 11/25/2024 |
If you would invest 0.00 in NICE on December 1, 2023 and sell it all today you would earn a total of 0.00 from holding NICE or generate 0.0% return on investment in NICE over 360 days. NICE is related to or competes with Salesforce, S A P, ServiceNow, Intuit, Uber Technologies, Shopify, and Applovin Corp. NICE Ltd., together with its subsidiaries, provides cloud platforms for AI-driven digital business solutions worldwide More
NICE Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure NICE's pink sheet current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess NICE upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.08) | |||
| Maximum Drawdown | 13.24 | |||
| Value At Risk | (2.91) | |||
| Potential Upside | 3.28 |
NICE Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for NICE's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as NICE's standard deviation. In reality, there are many statistical measures that can use NICE historical prices to predict the future NICE's volatility.| Risk Adjusted Performance | 0.0039 | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | (0.28) | |||
| Treynor Ratio | (0.09) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of NICE's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
NICE Backtested Returns
NICE retains Efficiency (Sharpe Ratio) of -0.002, which conveys that the firm had a -0.002% return per unit of risk over the last 3 months. NICE exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify NICE's Coefficient Of Variation of (50,086), market risk adjusted performance of (0.08), and Mean Deviation of 0.6065 to check out the risk estimate we provide. The company owns a Beta (Systematic Risk) of 0.15, which conveys not very significant fluctuations relative to the market. As returns on the market increase, NICE's returns are expected to increase less than the market. However, during the bear market, the loss of holding NICE is expected to be smaller as well. At this point, NICE has a negative expected return of -0.0034%. Please make sure to verify NICE's total risk alpha, as well as the relationship between the kurtosis and price action indicator , to decide if NICE performance from the past will be repeated in the future.
Auto-correlation | -0.03 |
Very weak reverse predictability
NICE has very weak reverse predictability. Overlapping area represents the amount of predictability between NICE time series from 1st of December 2023 to 29th of May 2024 and 29th of May 2024 to 25th of November 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of NICE price movement. The serial correlation of -0.03 indicates that only 3.0% of current NICE price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.03 | |
| Spearman Rank Test | 0.3 | |
| Residual Average | 0.0 | |
| Price Variance | 79.06 |
NICE lagged returns against current returns
Autocorrelation, which is NICE pink sheet's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting NICE's pink sheet expected returns. We can calculate the autocorrelation of NICE returns to help us make a trade decision. For example, suppose you find that NICE has exhibited high autocorrelation historically, and you observe that the pink sheet is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
NICE regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If NICE pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if NICE pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in NICE pink sheet over time.
Current vs Lagged Prices |
| Timeline |
NICE Lagged Returns
When evaluating NICE's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of NICE pink sheet have on its future price. NICE autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, NICE autocorrelation shows the relationship between NICE pink sheet current value and its past values and can show if there is a momentum factor associated with investing in NICE.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in NICE Pink Sheet
NICE financial ratios help investors to determine whether NICE Pink Sheet is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in NICE with respect to the benefits of owning NICE security.